40501: Microsoft Cloud Workshop: Containers and DevOps
Course Overview
Microsoft Cloud Workshop: Containers and DevOps
The 40501: Microsoft Cloud Workshop: Containers and DevOps course is a comprehensive workshop designed to provide IT professionals and developers with the knowledge and skills needed to implement and manage containerized applications using DevOps practices in Microsoft Azure. This hands-on workshop focuses on real-world scenarios and practical applications, preparing participants to effectively utilize containers and DevOps methodologies in their organizations.
Course Objectives
By the end of this workshop, participants will be able to:
- Understand the fundamentals of containerization and its benefits.
- Deploy and manage containerized applications using Azure Kubernetes Service (AKS).
- Implement DevOps practices using Azure DevOps.
- Automate the build, test, and deployment of applications.
- Monitor and troubleshoot containerized applications in Azure.
- Apply best practices for security and scalability in containerized environments.
Schedule Dates
Course Content
- Review the customer case study
- Call to action: Design a proof of concept solution
- Call to action: Present the solution
- Create and run a Docker application
- Deploy the solution to Azure Kubernetes Service
- Scale the application and test HA
- Setup load balancing and service discovery
FAQs
The focus of the 40501 course is on understanding and implementing containerization and DevOps practices using Azure services. Participants will learn to leverage Docker and Azure Kubernetes Service (AKS) for efficient application deployment and management in cloud environments.
Participants should have a basic understanding of cloud computing concepts and familiarity with Azure services. Prior experience with Docker containers and Kubernetes is beneficial but not required.
Participants can apply the knowledge gained by implementing containerization and DevOps practices in their organizations. They can streamline application development, improve deployment processes, and optimize resource usage, contributing to overall efficiency and agility in cloud environments.
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